Quick Answer
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Databricks pricing varies by team size and features, ranging from $0 to $0.4 per month in 2026. Your actual cost depends on the tier you choose, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available
  • Billing: Monthly and annual (save 15-20%)
  • Hidden costs: Add ~35% for implementation, support, and training

Finding Databricks Alternatives

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We're currently building our database of Databricks alternatives. In the meantime, explore other data warehousing options in our category.

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When to Stay with Databricks

Stay with Databricks if you need a unified platform for data engineering, machine learning, and SQL analytics, especially if your team already uses Apache Spark.

  • You've invested heavily in customizations and integrations
  • Your team is highly trained and productive on Databricks
  • You need features that alternatives don't offer
  • Migration costs would exceed multi-year savings

Frequently Asked Questions

01 What are the best Databricks alternatives?

Popular Databricks alternatives in the Data Warehousing space include various options depending on your team size, budget, and specific feature requirements. Consider what aspects of Databricks work well for you and what you'd like to improve.

02 Is it hard to switch from Databricks to an alternative?

Migration difficulty varies by alternative. Most modern alternatives offer import tools and migration assistance. The complexity depends on how customized your current setup is and how much historical data you need to transfer.

03 How much can I save by switching from Databricks?

Depending on the alternative you choose, you could save anywhere from 20% to 70% on per-user costs. Databricks's pricing is competitive, so cost savings depend on your specific feature requirements. Factor in migration costs and productivity dip during transition.

04 Should I stay with Databricks or switch?

Stay with Databricks if you need a unified platform for data engineering, machine learning, and SQL analytics, especially if your team already uses Apache Spark. However, if your needs have evolved or you're not using Databricks's advanced features, exploring alternatives could save you money and complexity.

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